Twitter-Sentiment-Analysis

This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.

twitter

View on GitHub

42 Stars

8 Forks

42 Watchers

Jupyter Notebook Language

Cost to Build

$1.3K

Market Value

$2.7K

How is this calculated?

Growth over time

8 data points · 2021-07-01 → 2025-09-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Twitter-Sentiment-Analysis

Question copied to clipboard

What is the kb22/Twitter-Sentiment-Analysis GitHub project? Description: "This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Twitter-Sentiment-Analysis

Clone via HTTPS

git clone https://github.com/kb22/Twitter-Sentiment-Analysis.git

Clone via SSH

[email protected]:kb22/Twitter-Sentiment-Analysis.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Twitter-Sentiment-Analysis issue tracker:

Open GitHub Issues

Similar to Twitter-Sentiment-Analysis

huginn UltimateAndroidReference tweepy trump2cash twitteroauth rrssb hybridauth rainbowstream RSSHub ActiveLabel.swift tweets_analyzer login-with Twidere-Android talon-twitter-holo twitter-api-php SocialCount sharer.js anatine twurl twitter-scraper seotools tinfoleak Circular SmallBang anaconda refined-twitter russia-it-podcast Twitter-Post-Fetcher anon integrations